Trong Thang Pham

My name is Trong Thang Pham. I got my bachelor's degree in Computer Science at University of Science, VNU-HCM, Vietnam. Currently, I'm a PhD student at the University of Arkansas, Fayetteville under the supervision of Dr. Ngan Le and studying a master's degree in Artificial Intelligence at John von Neumann Institute, VNU-HCM. I used to work as a AI research at AIOZ Singapore. I have published in top conferences, i.e. CVPR, WACV, and ICRA.

Email:
- Personal: phamtrongthang123@gmail.com
- John von Neumann Institute: thang.pham2021@ict.jvn.edu.vn
- University of Arkansas: tp030@uark.edu

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Research Interest

My current research lies in 3D graphics, Medical Image Analysis, and Computer Vision. I hold a strong belief that we can control and understand Deep learning like any other engineering subfields.

Publications
Open-Fusion: Real-time Open-Vocabulary 3D Mapping and Queryable Scene Representation.
Yamazaki, Kashu, Taisei Hanyu, Khoa Vo, Trong Thang Pham, Minh Tran, Gianfranco Doretto, Anh Nguyen, and Ngan Le
International Conference on Robotics and Automation (ICRA) (Oral 2024)
[PDF]

Decoding Radiologists Intense Focus for Accurate CXR Diagnoses: A Controllable and Interpretable AI System.
Trong Thang Pham, Jacob Brecheisen, Anh Nguyen, Hien Nguyen, and Ngan Le
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
[PDF]

DNA: Deformable Neural Articulations Network for Template-Free Dynamic 3D Human Reconstruction From Monocular RGB-D Video.
Vo, Khoa, Trong Thang Pham, Kashu Yamazaki, Minh Tran, and Ngan Le
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2023
[PDF]

Music-Driven Group Choreography
Le, Nhat, Trong Thang Pham, Tuong Do, Erman Tjiputra, Quang D. Tran, and Anh Nguyen
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023
[PDF]

EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification.
Nguyen, Tien-Phat, Trong Thang Pham, Tri Nguyen, Hieu Le, Dung Nguyen, Hau Lam, Phong Nguyen, Jennifer Fowler, Minh-Triet Tran, and Ngan Le
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023
[PDF]

HCMUS at Pixel Privacy 2020: Quality Camouflage with Back Propagation and Image Enhancement.
Minh-Triet Tran, Tam V Nguyen, Trung-Hieu Hoang, Trung-Nghia Le, Khac-Tuan Nguyen, Dat-Thanh Dinh, Thanh-An Nguyen, Hai-Dang Nguyen, Xuan-Nhat Hoang, Trong-Tung Nguyen, Viet-Khoa Vo-Ho, Trong-Le Do, Lam Nguyen, Minh-Quan Le, Hoang-Phuc Nguyen-Dinh, Trong-Thang Pham, Xuan-Vy Nguyen, E-Ro Nguyen, Quoc-Cuong Tran, Hung Tran, Hieu Dao, Mai-Khiem Tran, Quang-Thuc Nguyen, Tien-Phat Nguyen, Gia-Han Diep, Minh N Do
CVPRW , 2020
[PDF]

HCMUS at Pixel Privacy 2020: Quality Camouflage with Back Propagation and Image Enhancement.
Minh-Khoi Pham, Hai-Tuan Ho-Nguyen, Trong-Thang Pham, Hung Vinh Tran, Hai-Dang Nguyen, Minh-Triet Tran
Pixel Privacy track at Multimedia Eval Workshop , 2020
[PDF]

HCMUS at Pixel Privacy 2019: Scene Category Protection with Back Propagation and Image Enhancement
Hung Vinh Tran*, Trong-Thang Pham* , Hai-Tuan Ho-Nguyen*, Hoai-Lam Nguyen-Hy*, Xuan-Vy Nguyen*, Thang-Long Nguyen-Ho*, Minh-Triet Tran
Pixel Privacy track at Multimedia Eval Workshop , 2019
[PDF]

Professional Service

- Reviewer at ECCV 2024
- Reviewer at CVPR 2024
- Reviewer Cv4animals Workshop at CVPR 2024

Other Awards and Achievements

- Doctoral Academy Fellowships award - University of Arkansas (2023)
- Vietnam National Master/PhD Scholarship (VinIF 2021)
- Top 2 Eureka 2021 - Vietnam National Research Contest. (2021)
- Nominated as top 20 students contributed greatly to Vietnam AI Research (2021)


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